【摘要】 利用Hilbert变换提取瞬时信息是储层预测的一种常用方法,但抑制噪声的能力弱。在分析小波软、硬阈值去噪方法优缺点的基础上,引进了一种改进的阈值去噪方法。该方法可以很好地压制地震信号中高频随机噪声,且保持原信号的细节信息。在实际地震资料处理中,首先利用改进的方法去噪,然后再采用Hilbert变换提取瞬时信息,取得了较好的地质效果。更多还原

【Abstract】 Hilbert transform is commonly used in extracting instantaneous information from signals for reservoir prediction.However,its ability in suppressing noises is weak.In this paper,we put forward an improved wavelet threshold denoising method based on an analysis of advantages and disadvantages of the hard and soft wavelet threshold denoising methods.Experiments showed this method preserves the details of the original seismic signals while suppresses the high frequency random noises in the signals.Desired results have been reached by extracting instantaneous information from the seismic signals filtered with the proposed method.更多还原